MySQL MCP Server
Enables AI models to interact with MySQL databases through standardized operations including querying, executing commands, listing tables, and describing table structures with secure prepared statement support.
README
@f4ww4z/mcp-mysql-server
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
<a href="https://glama.ai/mcp/servers/qma33al6ie"><img width="380" height="200" src="https://glama.ai/mcp/servers/qma33al6ie/badge" alt="mcp-mysql-server MCP server" /></a>
Installation
Installing via Smithery
To install MySQL Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @f4ww4z/mcp-mysql-server --client claude
Manual Installation
npx @f4ww4z/mcp-mysql-server
Configuration
The server requires the following environment variables to be set in your MCP settings configuration file:
recommended use
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@f4ww4z/mcp-mysql-server", "mysql://user:password@localhost:port/database"],
}
}
}
{
"mcpServers": {
"mysql": {
"command": "npx",
"args": ["-y", "@f4ww4z/mcp-mysql-server"],
"env": {
"MYSQL_HOST": "your_host",
"MYSQL_USER": "your_user",
"MYSQL_PASSWORD": "your_password",
"MYSQL_DATABASE": "your_database"
}
}
}
}
codex
mac
在 ~/.codex/config.toml
[mcp_servers.mcp-mysql-server]
command = "npx"
args = [
"-y",
"@f4ww4z/mcp-mysql-server",
"mysql://user:password@127.0.0.1:3306/database"
]
windows
在 %USERPROFILE%\.codex\config.toml
[mcp_servers.mcp-mysql-server]
command = "npx"
args = [
"-y",
"@f4ww4z/mcp-mysql-server",
"mysql://user:password@127.0.0.1:3306/database"
]
Running evals
The evals package loads an mcp client that then runs the index.ts file, so there is no need to rebuild between tests. You can load environment variables by prefixing the npx command. Full documentation can be found here.
OPENAI_API_KEY=your-key npx mcp-eval src/evals/evals.ts src/index.ts
Available Tools
1. connect_db
Establish connection to MySQL database using provided credentials.
use_mcp_tool({
server_name: "mysql",
tool_name: "connect_db",
arguments: {
host: "localhost",
user: "your_user",
password: "your_password",
database: "your_database"
}
});
2. query
Execute SELECT queries with optional prepared statement parameters.
use_mcp_tool({
server_name: "mysql",
tool_name: "query",
arguments: {
sql: "SELECT * FROM users WHERE id = ?",
params: [1]
}
});
3. execute
Execute INSERT, UPDATE, or DELETE queries with optional prepared statement parameters.
use_mcp_tool({
server_name: "mysql",
tool_name: "execute",
arguments: {
sql: "INSERT INTO users (name, email) VALUES (?, ?)",
params: ["John Doe", "john@example.com"]
}
});
4. list_tables
List all tables in the connected database.
use_mcp_tool({
server_name: "mysql",
tool_name: "list_tables",
arguments: {}
});
5. describe_table
Get the structure of a specific table.
use_mcp_tool({
server_name: "mysql",
tool_name: "describe_table",
arguments: {
table: "users"
}
});
Features
- Secure connection handling with automatic cleanup
- Prepared statement support for query parameters
- Comprehensive error handling and validation
- TypeScript support
- Automatic connection management
Security
- Uses prepared statements to prevent SQL injection
- Supports secure password handling through environment variables
- Validates queries before execution
- Automatically closes connections when done
Error Handling
The server provides detailed error messages for common issues:
- Connection failures
- Invalid queries
- Missing parameters
- Database errors
Contributing
Contributions are welcome! Please feel free to submit a Pull Request to https://github.com/f4ww4z/mcp-mysql-server
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases